Dataset Versions

v6

2023-06-12 10:44pm

Generated on Jun 12, 2023

Dataset Split

Train Set 88%
2235Images
Valid Set 8%
208Images
Test Set 4%
110Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1280x1280
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 2 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels

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